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LSTM implementation in RUST for sequencing data from genomics and prediction of the sequence classifiers.
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A week ago i put a post on BlueSky as how you can implement LSTM in RUST and today i finished a part of coding a LSTM model in RUST.
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Implementing the LSTM neural network in RUST on the sequence data.
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A complete LSTM coded this evening (4.5 hours offline) and implemented in RUST.
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I only write the sequence and image based machine learning in RUST for biological analysis and currently converting all my previous python coded to RUST.
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Next I am writing the last part of the neural network and that is GRU as i wrote the LSTM, CNN, RNN already.
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All of them use different approach and highgly scalable using RUST.
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Few more to write so that it gets embedded in my head.
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Libraries that I am using Burn, TCH, PyTorch, Candle( I will write the language models only for the genomic BERT and training). Previously used Keras and Tensorflow in Python also but not anymore. If needed then can use.
cargo build
Gaurav Sablok
codeprog@icloud.com